Optical Engineer with Python - Freelance AI Trainer

## About the Role As a freelance AI trainer with Mindrift, you will be working on project-based initiatives that involve designing and solving complex computational physics problems. Your expertise in Python programming will be crucial in creating and verifying solutions to these problems. You will be part of a network of specialists who contribute to testing, evaluating, and improving AI systems for leading tech companies.

The role entails collaborating with cross-functional teams to design original computational physics problems that simulate real physics research workflows. You will create problems that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy. Your tasks will include ensuring that problems are computationally intensive and cannot be solved manually within reasonable timeframes.

Mindrift's platform offers a unique opportunity for professionals to work on a project-by-project basis, allowing for flexibility and autonomy. The company connects specialists with leading tech companies, providing a chance to contribute to innovative AI projects without being tied to a traditional employment arrangement.

## What You Will Do - Design original computational physics problems that simulate real physics research workflows - Create problems requiring Python programming to solve, using libraries such as Numpy, SciPy, and Sympy - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics - Base problems on real research challenges or practical applications from physics practice - Verify solutions using Python with standard physics simulation libraries - Document problem statements clearly and provide verified correct answers - Collaborate with cross-functional teams to design and solve complex physics problems - Participate in project-based initiatives, contributing to the testing, evaluation, and improvement of AI systems

## What We Are Looking For - Degree in Physics (Theoretical, Experimental, or Computational) or related fields - Python proficiency for numerical validation, with experience using libraries such as Numpy, SciPy, and Sympy - 2+ years of professional experience in applied, research, or teaching physics - Experience with numerical simulation methods and physics modeling techniques - Ability to design problems that mirror real physics research workflows - Creative thinking in problem design across diverse physics areas - Familiarity with physics modeling and approximation techniques - Strong written English skills (C1+)

## Nice to Have - Experience with MATLAB, R, C, SQL, Pandas, or other programming languages - Knowledge of domain-specific libraries and tools - Familiarity with project management tools and version control systems - Certification in physics or a related field

## Benefits and Perks - Competitive hourly rate, with the opportunity to earn up to $45 per hour equivalent - Flexibility and autonomy in a project-based work arrangement - Opportunity to contribute to cutting-edge AI projects with leading tech companies - Collaborative and dynamic work environment - Professional development opportunities, with access to training and resources - Remote work stipend and equipment allowance - Health and wellness benefits, including access to mental health support

- Tip: Make sure to highlight your Python programming skills and experience with numerical simulation methods in your application.

• Be prepared to provide examples of your problem-solving abilities and creative thinking in physics design.
• Familiarize yourself with Mindrift's platform and the types of projects they offer to demonstrate your enthusiasm and interest.
• Showcase your strong written English skills by providing clear and concise documentation of your problem statements and solutions.
• Be prepared to discuss your experience with physics modeling and approximation techniques, as well as your ability to work in a project-based environment.
• Tip: Consider creating a portfolio of your work, including examples of your problem designs and solutions, to demonstrate your skills and expertise to potential employers.